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import pandas as pd
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import random
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# 读取学生名单 Excel 文件
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def read_student_list(file_path):
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df = pd.read_excel(file_path)
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df['积分'] = 0 # 初始化每个学生的积分为0
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return df
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# 学生名单保存在 students.xlsx 文件中
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students = read_student_list('students.xlsx')
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print(students)
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# 点名规则：按积分计算选中的概率
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def weighted_random_choice(df):
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total_weight = sum([1 / (1 + score) for score in df['积分']])
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r = random.uniform(0, total_weight)
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upto = 0
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for i, row in df.iterrows():
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weight = 1 / (1 + row['积分'])
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if upto + weight >= r:
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return i # 返回被点名的学生索引
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upto += weight
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# 更新积分
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def update_score(df, index, answer_correctness):
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df.loc[index, 'score'] += 1 # 点到一次+1
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# 根据回答情况调整积分
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if answer_correctness == 'wrong':
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df.loc[index, 'score'] -= 1
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elif answer_correctness == 'partial':
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df.loc[index, 'score'] += 1
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elif answer_correctness == 'correct':
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df.loc[index, 'score'] += 3
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# 示例：更新一个被选中学生的积分
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selected_index = weighted_random_choice(students)
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update_score(students, selected_index, 'correct')
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# 保存更新后的名单
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def save_to_excel(df):
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df.to_excel("updated_students.xlsx", index=False)
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# 示例
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save_to_excel(students)
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# 主循环，随机点名并更新积分
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def classroom_roll_call(file_path, num_sessions):
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for _ in range(num_sessions):
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selected_index = weighted_random_choice(students)
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# 模拟回答情况
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answer = random.choice(['wrong', 'partial', 'correct'])
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update_score(students, selected_index, answer)
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# 示例：进行10次点名
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classroom_roll_call('students.xlsx', 10)
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